SPSS On-Line Training Workshop

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Carl Lee
Felix Famoye
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Analysis of Data Projects & Data Sets Integrate R into SPSS  

Projects Using Plastics Data

Project:

The Plastic Film data set is used for various analyses in this online training workshop, which includes :
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General Linear Model

Source of Data:
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Johnson, R.A. & Wichern, D.W. (1998) Applied Multivariate Statistical Analysis, 4th edition, p338, Prentice Hall Publishers.

Description of Data:

A study was conducted to examine the effects of rate of extrusion and amount of additive on extruding plastic film.  Three properties of extruded film were measured:  tear resistance, gloss and opacity. The three properties are dependent variables for a multivariate model with two factors (extrusion rate and additive amount).

The variables in the data set are:

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Extrusion: this has two levels

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low (1)

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high(2)

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Adaptive: this has two levels

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1.0% (1)

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1.5% (2)

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Resistance: plastic film tear resistance

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Gloss: plastic film gloss

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Opacity: plastic film opacity

The following is the Variable View in SPSS:

Data sets for downloading: Plastics.sav   Plastics.xsls

Analysis of Data:

Click on the following movie clips to learn how to perform Multivariate GLM:

camera.gif (1225 bytes) Click here to watch Multivariate GLM

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This online SPSS Training Workshop is developed by Dr Carl Lee, Dr Felix Famoye , student assistants Barbara Shelden and Albert Brown , Department of Mathematics, Central Michigan  University. All rights reserved.